output
20042023
most citedAsymptotic normality and valid inference for Gaussian variational approximation

47 citations

15 papers

stat.AP2023★ 7 cited

Log-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies

Teemu Härkönen, Erik M. Vartiainen, Lasse Lensu +2

We propose an approach utilizing gamma-distributed random variables, coupled with log-Gaussian modeling, to generate synthetic datasets suitable for training neural networks. This…

stat.ME2023

Survey Design and Estimating Equations when Combining Big Data with Probability Samples

Ryan Covey, Lucca Buonamano

The use of big data in official statistics and the applied sciences is accelerating, but statistics computed using only big data often suffer from substantial selection bias. This…

math.FA2023

Tietze type extensions for absolutely continuous functions in the plane

Ian Doust, Alan Stoneham

It is an open problem whether one can always extend an absolutely continuous function (in the sense of Ashton and Doust) on a compact subset of the plane to a larger compact set. I…

stat.ME2023

Integrating Big Data and Survey Data for Efficient Estimation of the Median

Ryan Covey

An ever-increasing deluge of big data is becoming available to national statistical offices globally, but it is well documented that statistics produced by big data alone often suf…

stat.ME2023★ 2 cited

A note on the optimum allocation of resources to follow up unit nonrespondents in probability

Su-Ming Tam, Anders Holmberg, Summer Wang

Common practice to address nonresponse in probability surveys in National Statistical Offices is to follow up every nonrespondent with a view to lifting response rates. As response…

math-ph2022★ 5 cited

Self-avoiding walks and polygons crossing a domain on the square and hexagonal lattices

Anthony J Guttmann, Iwan Jensen

We have analysed the recently extended series for the number of self-avoiding walks (SAWs) that cross an square between diagonally opposed corners. The number…